Sharpening Your Advanced SAS (R) Skills presents sophisticated SAS programming techniques, procedures, and tools, such as Proc SQL, hash tables, and SAS Macro programming, for any industry. Drawing on his more than 20 years' experience of SAS programming in the pharmaceutical industry, the author provides a unique approach that empowers both advanced programmers who need a quick refresher and programmers interested in learning new techniques. The book helps you easily search for key points by summarizing and differentiating the syntax between similar SAS statements and options. Each chapter begins with an overview so you can quickly locate the detailed examples and syntax. The basic syntax, expected data, and descriptions are organized in summary tables to facilitate better memory recall. General rules list common points about similar statements or options. Real-world examples of SAS programs and code statements are line numbered with references, such as SAS papers and websites, for more detailed explanations. The text also includes end-of-chapter questions to reinforce your knowledge of the topics and prepare you for the advanced SAS certification exam. In addition, the author's website offers mindmaps and process flowcharts that connect concepts and relationships.

The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.

Business Process Change: A Business Process Management Guide for Managers and Process Professionals, Fourth Edition, provides a balanced view of the field of business process change. Bestselling author and renowned expert in the field Paul Harmon offers concepts, methods, cases for all aspects, and phases of successful business process improvement. Students and professionals alike will benefit from the comprehensive coverage and customizable, integrated approach to broad business process management that focuses on improving efficiency and productivity. In this updated Edition, particular attention is paid to the impact of disruptive technology on business and the need for agile transformation.

63 New and Updated Patterns for Driving and Sustaining Change "The hard part of change is enlisting the support of other people. Whether a top manager interested in improving your organization's results or a lone developer promoting a better way of working, this book will give you tools and ideas to help accomplish your goal." -George Dinwiddie, independent coach and consultant, iDIA Computing, LLC "Keep the patterns in this book and Fearless Change handy. ... These patterns transformed me from an ineffective 'voice in the wilderness' to a valued collaborator." -Lisa Crispin, co-author (with Janet Gregory) of Agile Testing and More Agile Testing In their classic work, Fearless Change, Mary Lynn Manns and Linda Rising interviewed successful leaders of change, identified 48 patterns for implementing change in teams of all sizes, and demonstrated how to use these techniques effectively. Now, in More Fearless Change the authors reflect on all they've learned about their original patterns in the past decade, and introduce 15 powerful, new techniques-all extensively validated by change leaders worldwide. Manns and Rising teach strategies that appeal to each individual's logic (head), feelings (heart), and desire to contribute (hands)-the best way to motivate real change and sustain it for the long haul. Learn how to Focus on the best things you can achieve with limited resources Strategize to build flexible plans and go after low-hanging fruit Get help from the right people in the right ways Establish emotional connections that inspire motivation and imagination Create an "elevator pitch" that keeps everyone focused on what truly matters Build bridges, work with skeptics, soften resistance, and open minds Uncover easier paths towards change, and build on what already works Sustain momentum, provide time for reflection, and celebrate small successes More Fearless Change reflects a profound understanding of how real change happens: not instantaneously in response to top-down plans and demands, but iteratively, through small steps that teach from experience. Best of all, as thousands of change agents have already discovered, its patterns are easy to use-and they work.

A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves. In this comprehensive and hands-on volume, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics. For more information and materials, please visit www.routledge.com/cw/larson-hall.

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book's collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including: Non-standard, complex data formats, such as robot logs and email messages Text processing and regular expressions Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth Statistical methods, such as classification trees, k-nearest neighbors, and naive Bayes Visualization and exploratory data analysis Relational databases and Structured Query Language (SQL) Simulation Algorithm implementation Large data and efficiency Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data. Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers' computational reasoning of real-world data analyses.

Unique reference book covering the entire field of accounting information systems. Contributions from an international range of accounting and information systems experts. Includes coverage of contemporary themes such as big data, data security, cloud computing, IoT and blockchain.

Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and interpretation. Molecular Evolution: a statistical approach presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics. Written by an expert in the field, the book emphasizes conceptual understanding rather than mathematical proofs. The text is enlivened with numerous examples of real data analysis and numerical calculations to illustrate the theory, in addition to the working problems at the end of each chapter. The coverage of maximum likelihood and Bayesian methods are in particular up-to-date, comprehensive, and authoritative. This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology.

Studying for the SAP S/4HANA Management Accounting exam? Get the tools you need to succeed with this CO certification study guide for exams C_TS4CO_1709 and C_TS4CO_1809. Understand the test structure and what to expect; then walk through each topic area, from product cost planning to profit center accounting and beyond. Quiz yourself with practice questions and answers, and ensure you're ready to make the grade. In this book, you'll learn about: a. Test Structure Prepare with up-to-date information on each topic covered in the 1709 and 1809 exams: master data, business transactions, period-end close, and more. b. Core Content Review major subject areas like cost center accounting, internal orders, profitability analysis, and more. For each topic, round out your knowledge with important terminology and key takeaways. c. Q&A Test your knowledge with in-depth practice questions and answers for each major topic, and gain insight into how questions may be worded on test day.

"Functional and Phylogenetic Ecology in R" is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the R environment and handling relevant data in R. Chapters then cover phylogenetic and functional metrics of biodiversity; null modeling and randomizations for phylogenetic and functional trait analyses; integrating phylogenetic and functional trait information; and interfacing the R environment with a popular C-based program. This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides his own code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the work of determining which package to use for any given analysis. Example datasets are shared to help readers practice, and readers can then quickly turn to their own datasets.

An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the Second EditionThis edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using reproducible analysis tools, and statistical analysis with Markov chain Monte Carlo (MCMC) methods and finite mixture models. It also includes extended examples of simulations and many new examples. Enables Easy Mobility between the Two SystemsThrough the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. The datasets and code are available for download on the book's website.

Get everything you need to code with ABAP, all in one place! Are you a beginner looking for a refresher on the basics? You'll get an overview of SAP architecture and learn syntax. Already an experienced programmer and looking to improve your ABAP skills? Dive right into modifications and code enhancements. Understand the programming environment and build reports, interfaces, and applications with this complete reference to coding with ABAP! Highlights include: 1) Architecture and environment 2) Syntax, keywords, structures, and tables 3) User interaction 4) Modularization 5) Persistent data 6) Dialog and dynamic programming 7) Reports and forms 8) Interface development 9) Modifications and enhancements 10) Debugging and testing

A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text--readable from cover to cover--and as a reference manual for practitioners seeking authoritative guidance on particular topics. This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find: A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R; Comprehensive explorations of worked examples in R; A complementary companion website with downloadable datasets that are used in the book; In-depth examination of essential R packages. Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R's powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and optimization Describes how to find eigenvalues and eigenfunctions Discusses interpolation and curve fitting Considers the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.

What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. Drawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as the triad that influences visualization. This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards. How do you take your visualization skills to the next level? The book is perfect for analysts, research and data scientists, journalists, and business professionals. Functional Aesthetics for Data Visualization is also an indispensable resource for just about anyone curious about seeing and understanding data. Think of it as a coffee book for the data geek in you. https: //www.functionalaestheticsbook.com

There have been many improvements to QuickBooks over the years, but the program's documentation is not one of them. Luckily, QuickBooks 2008: The Missing Manual picks up where QuickBook's help resources leave off. With this book, you don't just learn how to use the software, you learn why and when to use specific features. And you get basic accounting advice so that it all makes sense to you along the way. With its Simple Start, Basic, Pro, Premier, and industry-specific Enterprise editions, QuickBooks can handle many of the financial tasks companies face, but the price you pay is an overabundance of features. With this book, you get advice on which features you need to use to get your work done efficiently, along with step-by-step instructions on how to use them. QuickBooks 2008: The Missing Manual helps you: *Get more out of QuickBooks whether you're a beginner or an old pro. *Learn how QuickBooks can help you boost sales, control spending, and save on taxes. *Set up and manage your files to fit your company's specific needs. *Use QuickBooks reports to evaluate every aspect of your enterprise. *Follow the money all the way from customer invoices to year-end tasks. *Discover new tips and tricks on the best timesaving options for your business. *Build budgets and plan for the future to make your business more successful. And a lot more. This book is designed to accommodate readers at every technical level. If you're a first-time QuickBooks user, special boxes with the title "Up To Speed" provide the introductory information you need to understand the topic at hand. For advanced users, there are similar boxes called "Power Users' Clinic" that offer more technical tips, tricks, and shortcuts for the experienced QuickBooks fan. For a topic as complicated as accounting software, why trust anything else?

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition has been reorganized and includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text. "An R Companion to Applied Regression continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R." -Christopher Hare, University of California, Davis

Das Buch gibt eine Einfuhrung in die Geschaftsprozessanalyse mit den beiden Schwerpunkten "Ereignisgesteuerte Prozessketten" (EPK) und "objektorientierte Geschaftsprozessanalyse." Es thematisiert Grundlagen, Chancen und Risiken Betriebswirtschaftlicher Standardsoftware (ERP-Software) und gibt eine umfassende Einfuhrung in ereignisgesteuerte Prozessketten. Die Darstellung wird durch zahlreiche Beispiele aus der Praxis abgerundet. Anschliessend wird das Gesamtkonzept der Unternehmensmodellierung fur SAP R/3 beschrieben und aufgezeigt, welche zentrale Rolle ereignisgesteuerte Prozessketten dabei spielen. Das Buch stellt Objektorientierung vor und uberpruft die objektorientierte Geschaftsprozessmodellierung auf ihre Tauglichkeit fur eine effiziente Prozessanalyse. In der Neuauflage wurde der Schwerpunkt auf die Modellierungsmethoden verlagert. Das Kapitel zur objektorientierten Geschaftsprozessmodellierung wurde stark ausgebaut und aktualisiert (UML 2.0) und das EPK-Kapitel um weitere Beispiele erweitert."

Statistics is of ever-increasing importance in Science and Technology and this book presents the essentials of the subject in a form suitable either as the basis of a course of lectures or to be read and/or used on its own. It assumes very little in the way of mathematical knowledge-just the ability to substitute numerically in a few simple formulae. However, some mathematical proofs are outlined or given in full to illustrate the derivation of the subject; these can be omitted without loss of understanding. The book does aim at making clear the scope and nature of those essential tests and methods that a scientist or technologist is likely to need; to this end each chapter has been divided into sections with their own subheadings and some effort has been made to make the text unambiguous (if any reader finds a misleading point anywhere I hope he will write to me about it). Also with this aim in view, the equality of probability to proportion of population is stated early, then the normal distribution and the taking of samples is discussed. This occupies the first five chapters. With the principles of these chapters understood, the student can immediately learn the significance tests of Chapter 6 and, if he needs it, the analysis of variance of Chapter 7. For some scientists this will be most of what they need. Howcver, they will be in a position to read and/or use the remaining chapters without undue difficulty.

DATABASE MANAGEMENT CONCEPTS, 7E, International Editionfits perfectly into any introductory database course for information systems, business or CIS programs. This concise text teaches SQL in a database-neutral environment with all major topics being covered, including E-R diagrams, normalization, and database design. DATABASE MANAGEMENT CONCEPTS, 7E, International Edition prepares students for success in their field using real-world cases addressing current issues such as database design, data integrity, concurrent updates, and data security. Special features include detailed coverage of the relational model (including QBE and SQL), normalization and views, database design, database administration and management, and more. Advanced topics covered include distributed databases, data warehouses, stored procedures, triggers, data macros, and Web databases.

NEW PERSPECTIVES ON MICROSOFT PROJECT 2010, International Edition takes a critical-thinking, problem-solving approach to teaching Microsoft's project management software. Case-based tutorials ask you to combine project management concepts with technology skills to complete realistic assignments. After working through NEW PERSPECTIVES ON MICROSOFT PROJECT 2010, you will be prepared to transfer your skills to complete projects successfully outside of the classroom and to thrive in your professional career.

Manufacturing Execution Systeme (MES) sind das Werkzeug, mit dem die Fertigungsprozesse transparent gemacht werden und mit dem die Ablaufe in Realtime unter Berucksichtigung von Zielvorgaben geregelt werden konnen.

Das Buch soll helfen, ein MES zielorientiert im Unternehmen einzufuhren. Hierzu werden nicht nur Ratschlage zur Konzeption gegeben, sondern es wird auch bei der "internen Vermarktung" des MES-Vorhabens in Form von Ratschlagen und Wirtschaftlichkeitsbetrachtungen unterstutzt. Im Anschluss daran werden Hinweise zur Erstellung eines Pflichtenhefts sowie zur Ausschreibung und Anbieterauswahl gegeben. Neben Tipps vom Projektstart bis zum Produktivstart des Systems werden Themen wie Mitarbeiterqualifizierung und Support angesprochen. Ferner wird aufgezeigt, wie der Einfuhrungsprozess durch externe MES-Berater unterstutzt werden kann.

Zwei Fallbeispiele zeigen, wie die Einfuhrung in der Praxis verlief und welcher Nutzen durch das MES erzielt werden konnte.

Zur Besserung Nutzung des Systems werden noch organisatorische Massnahmen beschrieben, wie die Mitarbeitereinbindung mit Zielvereinbarungen und Pramienentlohnung, die auch neue Tarifmodelle, wie z.B. ERA (Entgeltrahmenabkommen) vorsehen.

Ein Kapitel mit Checklisten, Literaturtipps und Weblinks schliesst dieses Buch ab."

Upgrade your knowledge to learn S/4HANA, the latest version of the SAP ERP system, with its built-in intelligent technologies, including AI, machine learning, and advanced analytics.Since the first edition of this book published as SAP ERP Financial and Controlling: Configuration and Use Management, the perspective has changed significantly as S/4HANA now comes with new features, such as FIORI (new GUI), which focuses on flexible app style development and interactivity with mobile phones. It also has a universal journal, which helps in data integration in a single location, such as centralized processing, and is faster than ECC S/3. It merges FI & CO efficiently, which enables document posting in the Controlling area setup. General Ledger Accounts (FI) and Cost Element (CO) are mapped together in a way that cost elements (both primary and secondary) are part of G/L accounts. And a mandatory setup of customer-vendor integration with business partners is included vs the earlier ECC creation with separate vendor master and customer master. This updated edition presents new features in SAP S/4HANA, with in-depth coverage of the FI syllabus in SAP S/4HANA. A practical and hands-on approach includes scenarios with real-life examples and practical illustrations. There is no unnecessary jargon in this configuration and end-user manual. What You Will Learn Configure SAP FI as a pro in S/4 Master core aspects of Financial Accounting and Controlling Integrate SAP Financial with other SAP modules Gain a thorough hands-on experience with IMG (Implementation Guide) Understand and explain the functionalities of SAP FI Who This Book Is For FI consultants, trainers, developers, accountants, and SAP FI support organizations will find the book an excellent reference guide. Beginners without prior FI configuration experience will find the step-by-step illustrations to be practical and great hands-on experience.

Mathematical Models of Biological Systems provides a practical introduction to basic mathematical modelling methodology and analysis. It covers a variety of biological applications and uses these topics in turn to highlight key components in the art of modelling. Its primary aim is to give students the tools to translate simple, real-world biological problems into rigorous mathematical models. A secondary aim is to teach the reader how to critically assess the modelling components in the primary life science literature.
The book covers deterministic as well as stochastic dynamics, continuous-time as well as discrete-time dynamics, partial differential equations, dimensional analysis, and curve fitting/parameter estimation. It contains numerous case studies, graded from elementary examples to more complicated problems, as well as a general treatment of good modelling practice. Although the book assumes a basic background in mathematics, specifically beginning calculus and elementary statistics, all requisite material is included in a series of appendices.

Mathematical Models of Biological Systems provides a practical introduction to basic mathematical modelling methodology and analysis. It covers a variety of biological applications and uses these topics in turn to highlight key components in the art of modelling. Its primary aim is to give students the tools to translate simple, real-world biological problems into rigorous mathematical models. A secondary aim is to teach the reader how to critically assess the modelling components in the primary life science literature. The book covers deterministic as well as stochastic dynamics, continuous-time as well as discrete-time dynamics, partial differential equations, dimensional analysis, and curve fitting/parameter estimation. It contains numerous case studies, graded from elementary examples to more complicated problems, as well as a general treatment of good modelling practice. Although the book assumes a basic background in mathematics, specifically beginning calculus and elementary statistics, all requisite material is included in a series of appendices.